Editor's note: This is AI Impact, Newsweek's weekly newsletter where each week, we will explore how business leaders are unlocking real value through artificial intelligence. Tap or click here to get this newsletter delivered to your inbox. In the weeks ahead, several Newsweek webinars will take on a question I keep hearing from folks in different forms: What has to change inside an organization once AI moves beyond experimentation?
Ranjit Tinaikar will sit down with Genpact President and CEO Balkrishan “BK” Kalra for “The Inflection Point: How Agentic Operations Compound Enterprise Value.” Kalra’s argument is that companies will increasingly move from work that is processed and validated by people toward work that is processed by machines and validated by people. They’ll explore what that means for operating models, jobs, controls and the economics of how work gets delivered. Then, on October 21, Gabriel Snyder, Newsweek’s executive editor, enterprise, will moderate “Overcoming Barriers to AI Transformation in Legacy Industries,” presented by Cognizant.
Matt Sanchez, chief operating officer at Yahoo, will join a panel examining how established businesses connect AI to existing systems and workflows, manage governance and risk and turn promising pilots into measurable results. We also have a session outside the enterprise series that I think many of you will find interesting. On September 3, my colleague Alexis Kayser, Newsweek’s health care editor, will moderate “What Makes a Smart Hospital?” with leaders from Statista, NYU Langone Health, Samsung Medical Center and Sheba Medical Center.
They’ll look at what separates individual technology deployments from a genuinely integrated digital strategy, drawing on Statista’s Smart Hospitals Maturity Survey. I’d love to have you join us for any—or all—of them. The three sessions start from different places, but they all come back to a similar challenge: Organizations can make AI available much faster than they can develop the skills, processes and judgment needed to use it well.
This week’s Signal Capture looks at just how wide the gap between access and proficiency can be. Signals from the frontlines of AI adoption KPMG Tax Vice Chair: Only 5 Percent of Users Show Sophisticated AI Behaviors KPMG is evolving how its tax teams are organized to include three kinds of AI expertise: power users, “makers” who create reusable prompts, workflows and agents and “builders” who turn those ideas into broader solutions. Rema Serafi, vice chair for tax at KPMG LLP, told Newsweek the structure is part of how the firm is preparing for AI to become embedded across tax workflows.
She drew a distinction between widespread AI adoption and actual proficiency. KPMG research conducted with the University of Texas at Austin found sophisticated use was uncommon: only 5 percent of users consistently demonstrated highly sophisticated AI behaviors. It looks like prompting a chatbot to summarize a document, answer a question, or generate content outside the workflow.
Extract — continue reading at the source.
